Exact(1)
The computer aided model analysis is highlighted through illustrative examples, involving processes with mass and/or energy recycle, where the important design and control (structure selection) issues for the integrated problems are considered.
Similar(59)
Since such cost structures cannot be accommodated in a compact formulation, our modelling framework, which is based on the paradigm of the Benders reformulation, integrates separate problems aiming to obtain a solution to the integrated problem.
Nevertheless, the integrated problem is highly complex and intractable.
Therefore, it is very hard to obtain the global optimal solution to the integrated problem.
Hence, meta-heuristic algorithms are used to solve the integrated problem iteratively.
In this section, the integrated problem is formulated under the following assumptions: 1.
In the first two approaches, the integrated problem is decomposed into a master sub-problem and a slave sub-problem.
We consider the integrated problem of determining the access networks and the backbone network simultaneously.
The boundaries of the integrated problem are determined and schematized within the scope of conceptual modeling.
Significant results have been published which in different ways seek to handle the integrated problem.
Various metaheuristic based heuristics that solve the integrated problem were incorporated into a dynamic simulation environment.
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